数据挖掘技术在思想政治教学中的应用

Yuanyuan Kong, Xin Li
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引用次数: 0

摘要

在大数据时代,将数据挖掘技术应用于思想政治教学,可以解决如何从碎片化的数据洪流中提取隐含的、高价值的教育信息知识或模型的现实问题。首先,通过功能分析和需求分析相结合,指出数据挖掘技术与思想政治教学的适应性。其次,借助嵌入式系统分析方法,构建了基于数据挖掘技术在思想政治教学实践中的应用模型。最后,提出了促进数据挖掘技术应用的具体措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Data Mining Technology in Ideological and Political Teaching
In the era of big data, the application of data mining technology in ideological and political teaching can solve the practical problem of how to extract the implicit and high-value educational information knowledge or model from the fragmented data torrent. Firstly, this paper points out the adaptability of data mining technology and ideological and political teaching by combining functional analysis and demand analysis. Secondly, with the help of embedded system analysis method, the application model based on data mining technology in ideological and political teaching practice is constructed. Finally, the concrete measures to promote the application of data mining technology are put forward.
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